2010
The dynamics of brain and cerebrospinal fluid growth in normal versus hydrocephalic mice.
Mandell J, Neuberger T, Drapaca C, Webb A, Schiff S. The dynamics of brain and cerebrospinal fluid growth in normal versus hydrocephalic mice. Journal Of Neurosurgery Pediatrics 2010, 6: 1-10. PMID: 20593980, DOI: 10.3171/2010.4.peds1014.Peer-Reviewed Original ResearchMeSH KeywordsAge FactorsAlgorithmsAnimalsAnimals, NewbornBrainCephalometryCerebral AqueductCerebral VentriclesDisease Models, AnimalFourier AnalysisFrontal LobeHydrocephalusImage Processing, Computer-AssistedImaging, Three-DimensionalIntracranial PressureLateral VentriclesMagnetic Resonance ImagingMathematical ComputingMiceMice, Inbred C57BLOccipital LobeOrgan SizeReference ValuesConceptsHydrocephalic miceBrain volumeClinical outcomesBrain growthVentricle volumeDynamics of brainCortical mantle thicknessPatterns of hydrocephalusOccipital horn ratioAccumulation of CSFTransmantle pressure gradientGrowth of brainVentricular ruptureParenchymal edemaVentricular sizeC57BL/6 miceTotal brainPercutaneous injectionAdjunct useHead circumferenceNormal miceCisterna magnaCSF volumeCognitive functionSerial quantification
2009
Time dependence of stimulation/recording-artifact transfer function estimates for neural interface systems
Chernyy N, Schiff S, Gluckman B. Time dependence of stimulation/recording-artifact transfer function estimates for neural interface systems. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2009, 2009: 1380-1383. PMID: 19964759, PMCID: PMC5502111, DOI: 10.1109/iembs.2009.5334297.Peer-Reviewed Original ResearchConceptsControl systemElectrode interface propertiesLow-frequency electric fieldNeural interface systemInterface propertiesControl outputElectric fieldElectrical potential variationsElectrical currentTransfer function magnitudeImpedance changesSystem stateMeasurement pointsInterface systemFunction magnitudeNeural control systemSimultaneous measurementTime dependencePotential variationPropertiesStimulus artifactTransfer function estimatesSystemFilterCurrent
2008
Multi-taper transfer function estimation for stimulation artifact removal from neural recordings
Chernyy N, Schiff S, Gluckman B. Multi-taper transfer function estimation for stimulation artifact removal from neural recordings. Annual International Conference Of The IEEE Engineering In Medicine And Biology Society (EMBC) 2008, 2008: 2772-2776. PMID: 19163280, PMCID: PMC3547985, DOI: 10.1109/iembs.2008.4649777.Peer-Reviewed Original Research
2001
Early Seizure Detection
Jerger K, Netoff T, Francis J, Sauer T, Pecora L, Weinstein S, Schiff S. Early Seizure Detection. Journal Of Clinical Neurophysiology 2001, 18: 259-268. PMID: 11528297, DOI: 10.1097/00004691-200105000-00005.Peer-Reviewed Original Research
1994
Fast wavelet transformation of EEG
Schiff S, Aldroubi A, Unser M, Sato S. Fast wavelet transformation of EEG. Clinical Neurophysiology 1994, 91: 442-455. PMID: 7529683, DOI: 10.1016/0013-4694(94)90165-1.Peer-Reviewed Original ResearchMeSH KeywordsBrainElectroencephalographyEpilepsyFourier AnalysisHumansSignal Processing, Computer-AssistedConceptsFeature extractionWavelet transformOrdinary microprocessorsComputational demandsRedundant samplingComputational timeMultiresolution frameworkData window lengthReal timeWavelet transformationContinuous wavelet transformRapid algorithmWaveletsAnalysis of EEGExtractionWindow lengthBackground noiseTransformAlgorithmPolynomial splinesMicroprocessorFourier transform techniqueRecent workCertain advantagesNumerical techniquesStochastic versus deterministic variability in simple neuronal circuits: I. Monosynaptic spinal cord reflexes
Chang T, Schiff S, Sauer T, Gossard J, Burke R. Stochastic versus deterministic variability in simple neuronal circuits: I. Monosynaptic spinal cord reflexes. Biophysical Journal 1994, 67: 671-683. PMID: 7948680, PMCID: PMC1225409, DOI: 10.1016/s0006-3495(94)80526-0.Peer-Reviewed Original ResearchConceptsTheoretical time seriesEvidence of determinismTime seriesDeterministic equationsNonlinear predictionDeterministic variabilityDeterministic structureSimple neuronal circuitDeterministic behaviorSurrogate dataLocal dispersionStatistical controlLocal flowLong time seriesAutocorrelationEquationsGroup Ia muscle afferentsOscillationsAlgorithmReflex variabilityStateDiscriminating deterministic versus stochastic dynamics in neuronal activity
Schiff S, Sauer T, Chang T. Discriminating deterministic versus stochastic dynamics in neuronal activity. Integrative Psychological And Behavioral Science 1994, 29: 246-261. PMID: 7811645, DOI: 10.1007/bf02691329.Peer-Reviewed Original Research